[
https://issues.apache.org/jira/browse/FLINK-10002?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16610059#comment-16610059
]
zhangxinyu commented on FLINK-10002:
------------------------------------
[~wind_ljy] Thanks for your suggestions.
# We could use "SizeAndTimeBasedRollingPolicy" to split by size or time. I
think batch jobs may also have a large mount of logs. As we know, if the mount
of logs is too large, the log UI may crash, so we can split by size.
# Yes, the current implementation wouldn't cache logs. I think if the log is
rotated, the log wouldn't be changed, so we can cache them in blob server.
> WebUI shows logs unfriendly, especially when the amount of logs is large
> ------------------------------------------------------------------------
>
> Key: FLINK-10002
> URL: https://issues.apache.org/jira/browse/FLINK-10002
> Project: Flink
> Issue Type: Improvement
> Components: Webfrontend
> Reporter: zhangxinyu
> Priority: Major
> Fix For: 1.7.0
>
> Attachments: image-2018-09-10-11-38-07-973.png
>
>
> When a streaming job run for a long time, the amount of logs may be very
> large. The current WebUI shows all content of logs. It will cost much time to
> download logs from task managers. and the browser cannot display the logs.
> Therefore, I suggest that Flink uses DailyRollingAppender to split logs by
> default, and task manager provides an API that can get logs based on a
> parameter of time interval. In this way WebUI can display logs based on time
> interval.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)